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This paper presents a watermarking scheme for the application of the multimedia communication. In the proposed alorithm based on the frequency domain, the watermark is embedded into the medium-frequency region using the similar approach to JPEG quantization. However, which position of the medium-frequency region can to provide the better effect in the watermarking system? Hence, we would like to explore...
In this paper an area optimized 16-bit booth multiplier is proposed. The proposed architecture is based on parallel prefix Sklansky adders. The architecture is also implemented using Carry Look ahead adder, Kogge Stone adder, Ladner-Fischer adder and Brent Kung adder. The adders are compared in terms of LUTs and power. The approach using Sklansky based 16-bit modified Radix-4 booth architecture is...
Signed binary multiplication is the essential part of all digital processing needs. The digital processing is inseparable part in microprocessor, microcontroller, digital image processing, data manipulation, etc. In this paper, a method to generate the partial products which are generated in the multiplication process is being proposed, in order to reduce the computational efforts in the multiplication...
This paper proposes a method for speeding up the estimation of the absolute value of largest eigenvalue of an asymmetric tridiagonal matrix based on Power method. An error analysis shows that the proposed method provide errors no greater than the usual Power method. The proposed method involves the computation of the tridiagonal matrix square under analysis, which is performed through a proposed fast...
Field polynomial division can be found in applications such as error detection and data encoding for digital communication systems. In addition, it implements the extended Euclidean algorithm (EEA), which can be used as the field inversion building block of elliptic curve cryptosystem. The unpredictability of the iterative algorithm of polynomial division in the EEA-Based field inversion results in...
In this paper, a novel algorithm is developed for the design of minimum-phase FIR filters with sparse impulse responses. Traditional minimum-phase FIR filter design approaches are based on autocorrelation sequences of impulse responses and design problems are formulated as a semidefinite program. To achieve sparse designs, l1 norm of filter coefficients is incorporated in the objective function as...
In this paper, designing of stochastic multiplier and divider is proposed for designing of Lower-Upper decomposition (LUD) scheme. By using stochastic computation complicated operations of LUD can be performed by simple logic gates. By using stochastic multiplier and divider computational complexity is reduced. Stochastic multiplier and divider use the stochastic stream which reduces the computational...
Floating-point arithmetic plays major role in computer systems. Many of the digital signal processing applications use floating-point algorithms for execution of the floating-point computations and every operating system is answerable practically for floating-point special cases like underflow and overflow. The single precision floating point arithmetic operations are multiplication, division, addition...
Video inpainting is the technique of filling the missing region or gaps in a video. In this technique, to fill up the large hole, high computational time is required. To overcome this issue, super resolution technique is used in video inpainting. In this paper, super resolution based video inpainting framework is proposed to fill the gaps in a video sequence. Iterated back projection based super resolution...
We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the matrix analog of the Taylor Series for evaluating (1–x)–1 where |x|
Traditional STEM education models in electrical engineering and computer science rely on structured classes, laboratories, and textbooks to transfer key concepts. Even though this process meets most of the ABET objectives, it does not respond well to current workforce needs that require widely accessible programs that will provide a large pool of graduates with STEM backgrounds, analytical and programming...
Kinect v2 provides depth images with reduced noises and holes, which simplifies the pre-processing of eliminating noises and filling holes. This also allows us to detect the moving object with the depth information of Kinect v2 without resorting to RGB image. Based on this a fast moving object detection method for Kinect v2 is presented in this paper. Our method performs very quickly while extracting...
Multitask learning methods facilitate learning multiple related tasks together and improvise results as compared to the schemes where each task is considered independently. In order to incorporate the shared information in multiple tasks, various regularizers have been integrated in pre-existing techniques. In this paper, we explore the problem of convex formulations of multitask learning with sparsity...
Kronecker product (KP) approximation has recently been applied as a modeling and analysis tool on systems with hierarchical networked structure. In this paper, we propose a tensor product-based approach to the KP approximation problem with arbitrary number of factor matrices. The formulation involves a novel matrix-to-tensor transformation to convert the KP approximation problem to a best rank-(R1...
In this paper, we propose a hardware compatible queue-based image segmentation algorithm for refining initial depth maps obtained from light field cameras. In the algorithm, an array is created to record the ranges of positions and intensities of possible segments, which make following segment merging steps much more efficient. An ASIC chip based on the proposed algorithm with a plane fitting calculator...
Haze is mainly occurred by atmospheric phenomena. Recently, many researchers in haze removal algorithm area are using single image. At the single image, we can't use depth information. To estimate the thickness of haze without depth information is not easy. As a result, single image haze removal method includes halo effect. In this paper, we propose halo effect suppression for single image haze removal...
An algorithm of sound source localization using range differences of arrival and energy ratios of arrival is proposed. This algorithm can localize the sound source using only two or three microphones. The problem is converted into a nonlinear least square optimization problem, which is solved by Levenberg-Marquardt method. The performance of this algorithm against noise is analyzed in this paper.
We present an EM algorithm for Maximum Likelihood estimation of the location, scale, and skew, and shape parameters of the z distribution, also known as the generalized logistic function (type IV). We use the Barndorff-Nielsen, Kent, and Sørensen representation of the z distribution as a Gaussian location-scale mixture to derive an EM algorithm for estimating the location, scale, skew, and shape parameters...
We present an EM algorithm for Maximum Likelihood (ML) estimation of the location, structure matrix, skew or drift, and shape parameters of Barndorff-Nielsen's Generalized Hyperbolic distribution, which is the Gaussian Location Scale mixture (or Normal Variance Mean Mixture) with Generalized Inverse Gaussian (GIG) scale mixing distribution. We use the GLSM representation along with the closed form...
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